Hui Fan

23 papers and 605 indexed citations i.

About

Hui Fan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hui Fan has authored 23 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Hui Fan’s work include Cancer-related gene regulation (4 papers), CRISPR and Genetic Engineering (3 papers) and Epigenetics and DNA Methylation (3 papers). Hui Fan is often cited by papers focused on Cancer-related gene regulation (4 papers), CRISPR and Genetic Engineering (3 papers) and Epigenetics and DNA Methylation (3 papers). Hui Fan collaborates with scholars based in China and United States. Hui Fan's co-authors include Yanan Cheng, Bo Wen, Hao Wu, Feng Zhang, Lü Cheng, Pin Lv, Weidong Shi, Yun Liu, Yuanbin Liu and Qi Wang and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Genome Research.

In The Last Decade

Co-authorship network of co-authors of Hui Fan i

Fields of papers citing papers by Hui Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui Fan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hui Fan. The network helps show where Hui Fan may publish in the future.

Countries citing papers authored by Hui Fan

Since Specialization
Citations

This map shows the geographic impact of Hui Fan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hui Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Fan more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025